S Egwaga

635 total citations
21 papers, 486 citations indexed

About

S Egwaga is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, S Egwaga has authored 21 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 15 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in S Egwaga's work include Tuberculosis Research and Epidemiology (20 papers), Pneumonia and Respiratory Infections (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). S Egwaga is often cited by papers focused on Tuberculosis Research and Epidemiology (20 papers), Pneumonia and Respiratory Infections (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). S Egwaga collaborates with scholars based in Tanzania, United Kingdom and Norway. S Egwaga's co-authors include Sayoki Mfinanga, Frank van Leth, Odd Mørkve, Eliud Wandwalo, Nyagosya Range, Fred Lwilla, Godfather Kimaro, Esther Ngadaya, T M Chonde and Anthony Harries and has published in prestigious journals such as BMC Health Services Research, Tropical Medicine & International Health and Tuberculosis.

In The Last Decade

S Egwaga

21 papers receiving 475 citations

Peers

S Egwaga
Comparison fields: 5 of 59
  • Infectious Diseases 430
  • Epidemiology 352
  • Surgery 125
  • Economics and Econometrics 52
  • Pediatrics, Perinatology and Child Health 38
Replace Michel Gasana with:
Michel Gasana Rwanda
K Jaggarajamma India
Eliud Wandwalo Tanzania
A Thomas India
Elizabeth Gardiner United States
Jintana Ngamvithayapong-Yanai Japan
Saidi Egwaga Tanzania
Holger Sawert Thailand
M. Grzemska Switzerland
Larissa Otero Peru
Michel Gasana Rwanda View profile →
Citations per field, relative to S Egwaga
S Egwaga · 1×
Citations per year, relative to S Egwaga
S Egwaga · 1×

Countries citing papers authored by S Egwaga

Since Specialization
Citations

This map shows the geographic impact of S Egwaga's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S Egwaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Egwaga more than expected).

Fields of papers citing papers by S Egwaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Egwaga. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S Egwaga. The network helps show where S Egwaga may publish in the future.

Co-authorship network of co-authors of S Egwaga

This figure shows the co-authorship network connecting the top 25 collaborators of S Egwaga. A scholar is included among the top collaborators of S Egwaga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S Egwaga. S Egwaga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 27
3 24
4 4
5 26
6 8
7 7
8 29
9 4
10 9
11 19
12 31
13
National anti-tuberculosis drug resistance study in Tanzania.
58
14 49
15 2
16 24
17
Effectiveness of community-based directly observed treatment for tuberculosis in an urban setting in Tanzania: a randomised controlled trial.
52
18 8
19 44
20
Density of tuberculin skin reaction and its association with tuberculosis infection as defined by dual tuberculin testing.
1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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